Stand out in this emerging yet competitive field with our certificate. 1.4 Introduction to R programming and RStudio, 1. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing. Upon completion of the training course you can apply for some of the best jobs in top MNCs around the world at top salaries. Applying the Bayes theorem on the given dataset. Project 1 : Analyzing global COVID-19 data with interactive Tableau dashboard, Problem statement : Analyzing, understanding and comparing the COVID-19 cases across different countries. Try to gain practical experience by initiating a school project or by taking part in research efforts. You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.

14.4 How Naive Bayes classifier works and classifier building in Scikit-Learn 7.6 Language Toolkit (NLTK) environment Graduates looking for a career in Machine learning, Deep learning or AI. 5.3 Sequential and functional composition, batch normalization Overview of Machine Learning, Words, Term Frequency, Count Vectorizer, Inverse Document Frequency, Text conversion, Confusion Matrix, Naiive Bayes Classifier.

Artificial intelligence continues to make breakthrough advancements to improve our quality of life across an array of settings. 10.1 Introduction to Thread, need of threads 3. However, as a general rule of thumb, we can go with research conducted by job portals. Some of these companies are interested in computer-aided instruction for their own personnel. 1.1 This case study is associated with the modeling technique of Market Basket Analysis, where you will learn about loading data, plotting items, and running algorithms. AI study and research in Malaysia are getting amazing traction from all corners of the industry as well as the government of Malaysia.

Intellipaat certification is recognized in some of the biggest companies like Cisco, Cognizant, Mu Sigma, TCS, Genpact, Hexaware, Sony and Ericsson, among others.

Depending on factors such as the fields used to visualize, number of values in each field and the problem statement, appropriate charts and graphs are to be used. Learn how to implement a machine learning pipeline using Amazon SageMaker and Amazon SageMaker Ground Truth. 2.3 You will detect patterns and uncover insight using the power of R programming.

Deploying unsupervised learning with R to achieve clustering and dimensionality reduction You will be working on the data entered in a business enterprise setup and will aggregate, retrieve and manage that data.

1.3 Types of Machine Learning, such as supervised, unsupervised, and reinforcement learning, Machine Learning with Python, and the applications of Machine Learning, 2.1 Introduction to supervised learning and the types of supervised learning, such as regression and classification Stacking recurrent layers will improve accuracy and understanding the same is extremely pivotal for the success of AI algorithms.

Hands-on Exercise – The course in Malaysia is designed to suit the needs of students as well as working professionals.

6.2 Introduction to linear regression, predictive modeling, simple linear regression vs multiple linear regression, concepts, formulas, assumptions, and residuals in Linear Regression, and building a simple linear model Installation of Tableau Desktop, architecture of Tableau, interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)

4.9 Parallel computing in Tensorflow. - Artificial Intelligence specialists can earn anywhere between £30,000 - £95,000 per year. Artificial Intelligence (AI) Data Specialist Discover new artificial intelligence solutions that use data to improve and automate business processes. © 2020 - EDUCBA. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Using Python library Scikit-Learn to build a Naïve Bayes classifier and a support vector classifier, 6.1 Types of unsupervised learning, such as clustering and dimensionality reduction, and the types of clustering Maximizing future rewards is the key to building reinforcement learning.

Topics: This is a real-world project that gives you hands-on experience in working with most of the Machine Learning algorithms. I completed my Python training with this institute where they provided extremely good training and good support too. This Artificial Intelligence module has been conceived and structured to groom consummate AI professionals. All rights reserved. Understand working with videos and images because the amount of data getting generated in this space is outstripping the volume of textual data.